Time Series Forecasting
Keras
English
time-series
stock-forecasting
LSTM
ARIMA
Prophet
machine-learning
deep-learning
forecasting
Instructions to use Hiruni2207/DataSynthis_ML_JobTask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Hiruni2207/DataSynthis_ML_JobTask with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Hiruni2207/DataSynthis_ML_JobTask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2522aebdeb6a5020f7d724332a11c5b49f401de304eec54c3e0868e94a6fa4a3
- Size of remote file:
- 719 Bytes
- SHA256:
- c29651dd7c6c64f20a2e42c212943bf1569ca76c4328f84f86702c84b7c6fc75
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